elancasti.com.ar

El Ancasti is a local daily newspaper published in San Fernando del Valle de Catamarca, Argentina. More information...

Multilingual Wikipedia

In June 2020 the website elancasti.com.ar was on the 89,455th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 51,377th place in June 2020. From Wikipedians' point of view, "elancasti.com.ar" is the 48,687th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before the-rathouse.com and after bancointer.com.br in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
89,455th place
222,719
+23,657
AR-score:
48,687th place
64,092
-1,674
F-score:
51,377th place
168
+1

Spanish Wikipedia (es)

PR-score:
10,148th place
191,888
+6,693
AR-score:
4,387th place
57,268
-1,700
F-score:
4,397th place
133
0

English Wikipedia (en)

PR-score:
259,286th place
26,436
+19,123
AR-score:
207,733rd place
4,818
+20
F-score:
148,514th place
14
+1

Portuguese Wikipedia (pt)

PR-score:
83,409th place
2,645
-703
AR-score:
88,213th place
495
+5
F-score:
49,663rd place
4
0

Italian Wikipedia (it)

PR-score:
120,358th place
1,332
-1,317
AR-score:
105,955th place
777
0
F-score:
71,860th place
3
0

French Wikipedia (fr)

PR-score:
285,012th place
340
-119
AR-score:
179,854th place
599
0
F-score:
66,256th place
7
0

Asturian Wikipedia (ast)

PR-score:
21,195th place
67
-3
AR-score:
30,101st place
53
0
F-score:
8,708th place
5
0

Ukrainian Wikipedia (uk)

PR-score:
146,306th place
5
-16
AR-score:
102,143rd place
73
0
F-score:
92,546th place
1
0

South Azerbaijani Wikipedia (azb)

PR-score:
12,533rd place
2
0
AR-score:
12,227th place
5
0
F-score:
10,017th place
1
0

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...